Deep learning-based computer-aided diagnosis system for the automatic detection and classification of lateral cervical lymph nodes on original ultrasound images of papillary thyroid carcinoma: a prospective diagnostic study.

Journal: Endocrine
Published Date:

Abstract

PURPOSE: This study aims to develop a deep learning-based computer-aided diagnosis (CAD) system for the automatic detection and classification of lateral cervical lymph nodes (LNs) on original ultrasound images of papillary thyroid carcinoma (PTC) patients.

Authors

  • Yuquan Yuan
    Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing, China.
  • Bin Pan
    Department of Emergency Intensive Care Unit, Changshu Hospital Affiliated to Soochow University, Changshu, China.
  • Hongbiao Mo
    Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing, China.
  • Xing Wu
  • Zhaoxin Long
    College of Computer Science, Chongqing University, Chongqing, China.
  • Zeyu Yang
    Department of Orthopedics, Ruijin Hospital LuWan Branch, School of Medicine, Shanghai Jiaotong University School of Medicine, Shanghai, China.
  • Junping Zhu
    Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing, China.
  • Jing Ming
    Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing, China.
  • Lin Qiu
    School of Water conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450011, PR China. Electronic address: qiulin@ncwu.edu.cn.
  • Yiceng Sun
    Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing, China.
  • Supeng Yin
    Department of Breast and Thyroid Surgery, Chongqing General Hospital, Chongqing, China; Chongqing Hospital of Traditional Chinese Medicine, Chongqing, China. Electronic address: yinsupeng@163.com.
  • Fan Zhang
    Department of Anesthesiology, Bishan Hospital of Chongqing Medical University, Chongqing, China.